💸🧠Fintech & AI: Unstructured Data for Inclusive Credit
​💸🧠Fintech & AI: Unstructured Data for Inclusive Credit
​This event explores how Fintech and Artificial Intelligence can transform credit scoring by leveraging unstructured data such as mobile transactions, mobile money transactions, social media activity, and utility payments to expand access to affordable credit for the informal sector. The discussion will focus on innovative approaches that promote financial inclusion, improve risk assessment, and shape future policy.
​📚 Discussion Outline
​1. Welcome & Opening Remarks
​Introduction to the event goals and relevance
​Brief overview of financial inclusion challenges in Ghana and beyond
​2. Setting the Context
​What is unstructured data?
​Why traditional credit scoring excludes the informal sector
​The role of AI in processing and making sense of unstructured data
​3. Case Studies & Use Cases
​Examples of fintech solutions using alternative data (e.g., mobile money, social media, utilities)
​Real-world outcomes and lessons learned
​4. Policy & Regulatory Landscape
​Data privacy, ethics, and consent
​The role of regulators (Bank of Ghana, Ministry of Finance)
​How policy can enable responsible digital lending
​5. Opportunities & Challenges
​How to build trust in AI-driven credit scoring
​Risk management and transparency
​Cross-sector collaboration (fintech, banks, regulators, civil society)
​7. Closing Reflections
​Priority areas for action and collaboration
​Summary of key takeaways
​Next steps
​Please be advised: Unfortunately, space is very limited at these community events and we can not always accept everyone we would like to. If you are not accepted to this event, please keep applying! We appreciate your application tremendously and we are looking forward to seeing you at a future event very soon!
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